InstaCommentScraper
🥈SilverInstaCommentScraper is a Python tool designed to scrape all comments from Instagram posts by using their URLs. It retrieves valuable user data from comments, making it ideal for social media analysis, marketing research, and content engagement tracking.
600Updated 2mo ago
Intermediate30min to implementmarketing
Saves ~45 min per use
Quick InstallView Source
git clone https://github.com/Ali-hey-0/InstaCommentScraper.gitWorks with:
Claude
Overview
About This Skill
InstaCommentScraper is a Python tool that extracts all comments from Instagram posts using their URLs and exports the data in CSV, Excel, or JSON formats. The tool retrieves detailed user data including usernames, comment text, timestamps, and engagement metrics. It includes built-in features like rate limiting, retry logic, progress tracking, and error handling for common Instagram issues such as login failures and session expiration. This makes it valuable for social media analysts, marketers, and researchers who need to collect and analyze audience engagement at scale.
How to Use
Clone the repository and set up a Python virtual environment. Install dependencies via pip install -r requirements.txt, then configure your Instagram credentials and target post URL in a .env file. Run python script.py to download all comments from the specified post, which will be exported to three files (CSV, Excel, and JSON) in the output directory.
Use Cases
Collecting audience comments for sentiment analysis and brand monitoring
Social media research and competitive analysis of engagement patterns
Content performance tracking by analyzing comment volume and user responses
Marketing research to understand customer feedback and product reactions
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/Ali-hey-0/InstaCommentScraperRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
I need to scrape comments from an Instagram post. Here is the URL: [POST_URL]. Extract all comments, including usernames, comment text, and timestamps. Also, provide a summary of the sentiment analysis for these comments. Focus on [SPECIFIC_ASPECT] like product feedback or customer satisfaction.
Example Output
# Instagram Comments Analysis ## Extracted Comments 1. **@foodie_love** (2023-10-15 14:30) "This burger is amazing! The flavors are spot on. 😋" *Sentiment: Positive* 2. **@burger_lover** (2023-10-15 15:45) "The patty was a bit dry. Needs more juiciness. 😕" *Sentiment: Negative* 3. **@eat_healthy** (2023-10-15 16:20) "Great job on the presentation! The colors are vibrant. 🎨" *Sentiment: Positive* ## Summary - **Total Comments:** 3 - **Positive Sentiment:** 2 - **Negative Sentiment:** 1 - **Neutral Sentiment:** 0 ## Key Insights - The majority of users appreciate the presentation and flavor of the burger. - There is a notable concern about the juiciness of the patty that needs attention.
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